对比造影剂增强型乳腺 X 射线照相术在检测极致密乳房患者恶性病变方面与所有致密人群的效果。

Polish journal of radiology Pub Date : 2024-05-15 eCollection Date: 2024-01-01 DOI:10.5114/pjr/186180
Anna Grażyńska, Agnieszka Niewiadomska, Aleksander J Owczarek, Mateusz Winder, Jakub Hołda, Olga Zwolińska, Anna Barczyk-Gutkowska, Sandra Modlińska, Andrzej Lorek, Aleksandra Kuźbińska, Katarzyna Steinhof-Radwańska
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引用次数: 0

摘要

目的:与所有致密人群相比,评估造影剂增强乳腺X线摄影(CEM)重组图像在检测极致密乳房患者恶性病变方面的有效性。材料与方法:792例808个乳房病变的患者符合单中心回顾性研究的条件,这些患者根据CEM最终决定进行核心针活检,并获得了组织病理学检查结果。研究人员查阅了患者的电子病历和影像学检查,以确定人口统计学、临床和影像学检查结果以及组织病理学检查结果。对CEM图像进行重新评估,并将其归入相应的美国放射学会(ACR)密度类别:结果:86 例(10.9%)患者的乳房密度极高。组织病理学检查证实,整组患者中有 52.6% 的病例存在恶性病变,极致密乳房组中有 43% 的病例存在恶性病变。在整组患者中,CEM 错误地将病变归类为假阴性的有 16/425 例(3.8%),在极致密乳房患者中,CEM 错误地将病变归类为假阴性的有 1/37 例(2.7%)。在所有患者中,CEM 的灵敏度为 96.2%,特异性为 60%,阳性预测值 (PPV) 为 72.8%,阴性预测值 (NPV) 为 93.5%。在乳房密度极高的患者组中,该方法的灵敏度为 97.3%,特异性为 59.2%,PPV 为 64.3%,NPV 为 96.7%:无论乳腺密度类型如何,CEM 在检测恶性病变方面都具有高灵敏度和 NPV 的特点。对于乳腺密度极高的患者,CEM可在没有磁共振成像或磁共振成像可用性低的情况下作为补充或额外检查。
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Comparison of the effectiveness of contrast-enhanced mammography in detecting malignant lesions in patients with extremely dense breasts compared to the all-densities population.

Purpose: To assess the effectiveness of contrast-enhanced mammography (CEM) recombinant images in detecting malignant lesions in patients with extremely dense breasts compared to the all-densities population.

Material and methods: 792 patients with 808 breast lesions, in whom the final decision on core-needle biopsy was made based on CEM, and who received the result of histopathological examination, were qualified for a single-centre, retrospective study. Patient electronic records and imaging examinations were reviewed to establish demographics, clinical and imaging findings, and histopathology results. The CEM images were reassessed and assigned to the appropriate American College of Radiology (ACR) density categories.

Results: Extremely dense breasts were present in 86 (10.9%) patients. Histopathological examination confirmed the presence of malignant lesions in 52.6% of cases in the entire group of patients and 43% in the group of extremely dense breasts. CEM incorrectly classified the lesion as false negative in 16/425 (3.8%) cases for the whole group, and in 1/37 (2.7%) cases for extremely dense breasts. The sensitivity of CEM for the group of all patients was 96.2%, specificity - 60%, positive predictive values (PPV) - 72.8%, and negative predictive values (NPV) - 93.5%. In the group of patients with extremely dense breasts, the sensitivity of the method was 97.3%, specificity - 59.2%, PPV - 64.3%, and NPV - 96.7%.

Conclusions: CEM is characterised by high sensitivity and NPV in detecting malignant lesions regardless of the type of breast density. In patients with extremely dense breasts, CEM could serve as a complementary or additional examination in the absence or low availability of MRI.

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